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. 2025 Jan 9;8:20. doi: 10.1038/s41746-025-01430-7

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© The Author(s) 2025

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 8 — A comprehensive overview of users experience at January AI. a Users complete an onboarding during which they provide information about their demographics. Following onboarding, (b) users complete a 5-day “AI training period,” during which they wear a continuous glucose monitor (Freestyle Libre 2), a smart watch (Apple Watch or Fitbit), and provide detailed food logs. c This information is used to construct a “digital twin” that simulates the users’ metabolic responses to different permutations of macronutrients and/or physical activity. The user continues to receive health insights after their CGM use concludes, and they continue to wear a smartwatch.